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- model:
- base_learning_rate: 0.0001
- target: ldm.models.diffusion.ddpm.LatentDiffusion
- params:
- linear_start: 0.0015
- linear_end: 0.015
- num_timesteps_cond: 1
- log_every_t: 200
- timesteps: 1000
- first_stage_key: jpg
- cond_stage_key: nix
- image_size: 48
- channels: 16
- cond_stage_trainable: false
- conditioning_key: crossattn
- monitor: val/loss_simple_ema
- scale_by_std: false
- scale_factor: 0.22765929
- unet_config:
- target: ldm.modules.diffusionmodules.openaimodel.UNetModel
- params:
- image_size: 48
- in_channels: 16
- out_channels: 16
- model_channels: 448
- attention_resolutions:
- - 4
- - 2
- - 1
- num_res_blocks: 2
- channel_mult:
- - 1
- - 2
- - 3
- - 4
- use_scale_shift_norm: false
- resblock_updown: false
- num_head_channels: 32
- use_spatial_transformer: true
- transformer_depth: 1
- context_dim: 768
- use_checkpoint: true
- first_stage_config:
- target: ldm.models.autoencoder.AutoencoderKL
- params:
- monitor: val/rec_loss
- embed_dim: 16
- ddconfig:
- double_z: true
- z_channels: 16
- resolution: 256
- in_channels: 3
- out_ch: 3
- ch: 128
- ch_mult:
- - 1
- - 1
- - 2
- - 2
- - 4
- num_res_blocks: 2
- attn_resolutions:
- - 16
- dropout: 0.0
- lossconfig:
- target: torch.nn.Identity
- cond_stage_config:
- target: torch.nn.Identity
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